Data Augmentation

Random Utterance Concatenation Based Data Augmentation for Improving Short-video Speech Recognition Interspeech 2023 RankAug: Augmented data ranking for text classification EMNLP 2023 RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images With Diverse Sizes and Imbalanced Categories CVPR 2023 RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023 Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments CVPR 2023 RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching UAI 2023 READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises ACL 2023 Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow EACL 2023 REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths NeurIPS 2023 Regularization-free Diffeomorphic Temporal Alignment Nets ICML 2023 Regularizing Neural Networks with Meta-Learning Generative Models NeurIPS 2023 Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark NeurIPS 2023 Reinforced Approximate Exploratory Data Analysis AAAI 2023 Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement ICCV 2023 Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models Interspeech 2023 Resolution Consistency Training on Time-Frequency Domain for Semi-Supervised Sound Event Detection Interspeech 2023 Resolving Class Imbalance for LiDAR-Based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling WACV 2023 Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator CVPR 2023 Retaining Beneficial Information from Detrimental Data for Neural Network Repair NeurIPS 2023 Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation AAAI 2023 Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023 Rethinking Label Refurbishment: Model Robustness under Label Noise AAAI 2023 Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation WACV 2023 Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning ICLR 2023 Retrieval-Based Transformer for Table Augmentation ACL 2023